




"""simple docstring"""

import gc
import unittest

from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
       import jax
       import jax.numpy as jnp
       from flax.jax_utils import replicate
       from flax.training.common_utils import shard





@slow
@require_flax
class 							lowercase_			(	unittest.TestCase				):



 '''simple docstring'''

 def      lowerCAmelCase_				(					self			:			Tuple						):
       # clean up the VRAM after each test
       super().tearDown()
       gc.collect()



 def      lowerCAmelCase_				(					self			:			Tuple						):
       _A     =  load_image(
           'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
           '/sd2-inpaint/init_image.png'						)
       _A     =  load_image(
           'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png'						)

       _A     =  'xvjiarui/stable-diffusion-2-inpainting'
       _A  ,       _A     =  FlaxStableDiffusionInpaintPipeline.from_pretrained(_UpperCAmelCase       ,				safety_checker=_UpperCAmelCase						)

       _A     =  'Face of a yellow cat, high resolution, sitting on a park bench'

       _A     =  jax.random.PRNGKey(0						)
       _A     =  50

       _A     =  jax.device_count()
       _A     =  num_samples * [prompt]
       _A     =  num_samples * [init_image]
       _A     =  num_samples * [mask_image]
       _A  ,       _A  ,       _A     =  pipeline.prepare_inputs(_UpperCAmelCase       ,				_UpperCAmelCase       ,				_UpperCAmelCase						)

       # shard inputs and rng
       _A     =  replicate(_UpperCAmelCase						)
       _A     =  jax.random.split(_UpperCAmelCase       ,				jax.device_count()						)
       _A     =  shard(_UpperCAmelCase						)
       _A     =  shard(_UpperCAmelCase						)
       _A     =  shard(_UpperCAmelCase						)

       _A     =  pipeline(
           _UpperCAmelCase       ,				_UpperCAmelCase       ,				_UpperCAmelCase       ,				_UpperCAmelCase       ,				_UpperCAmelCase       ,				_UpperCAmelCase       ,				jit=_UpperCAmelCase						)

       _A     =  output.images.reshape(_UpperCAmelCase       ,				512       ,				512       ,				3						)

       _A     =  images[0, 253:256, 253:256, -1]

       _A     =  jnp.asarray(jax.device_get(image_slice.flatten()						)						)
       _A     =  jnp.array(
           [0.361_1307, 0.3764_9736, 0.375_7408, 0.3821_3953, 0.3929_5167, 0.384_1631, 0.4155_4978, 0.413_7475, 0.421_7084]						)
       print(F'''output_slice: {output_slice}'''						)
       assert jnp.abs(output_slice - expected_slice						).max() < 1E-2









"""simple docstring"""


from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass




@dataclass
class 						__UpperCamelCase     :
					lowercase_    :				int
					lowercase_    :				TreeNode | None      =  None
					lowercase_    :				TreeNode | None      =  None


__SCREAMING_SNAKE_CASE   =   namedtuple('CoinsDistribResult', 'moves excess')


def        UpperCAmelCase      (					a__ ):





						'''simple docstring'''






						if root is None:
												return 0

						# Validation
						def count_nodes(a__ ) -> int:
												if node is None:
																		return 0

												return count_nodes(node.left ) + count_nodes(node.right ) + 1

						def count_coins(a__ ) -> int:
												if node is None:
																		return 0

												return count_coins(node.left ) + count_coins(node.right ) + node.data

						if count_nodes(a__ ) != count_coins(a__ ):
												raise ValueError('The nodes number should be same as the number of coins' )

						# Main calculation
						def get_distrib(a__ ) -> CoinsDistribResult:

												if node is None:
																		return CoinsDistribResult(0     ,      1 )

												lowerCAmelCase	, lowerCAmelCase   :Optional[int]						=			get_distrib(node.left )
												lowerCAmelCase	, lowerCAmelCase   :str						=			get_distrib(node.right )

												lowerCAmelCase   :str						=			1 - left_distrib_excess
												lowerCAmelCase   :Optional[Any]						=			1 - right_distrib_excess

												lowerCAmelCase   :Any						=			(
												    left_distrib_moves
												    + right_distrib_moves
												    + abs(a__ )
												    + abs(a__ )
												)
												lowerCAmelCase   :Tuple						=			node.data - coins_to_left - coins_to_right

												return CoinsDistribResult(a__     ,      a__ )

						return get_distrib(a__ )[0]


if __name__ == "__main__":
		import doctest

		doctest.testmod()